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September 10, 2025ElectronicsOpen Access

A Building Crack Detection UAV System Based on Deep Learning and Linear Active Disturbance Rejection Control Algorithm

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This UAV system implements deep learning and LADRC for efficient crack detection in buildings, enhancing accuracy.

The system enhances building crack detection efficiency and stability using UAV technology and deep learning methods.
An integrated YOLOv8 model with attention mechanisms improves recognition robustness for complex backgrounds.
A trajectory control algorithm using LADRC ensures stable and accurate image capture of crack features.
Experimental results indicate that this system outperforms traditional inspection methods in accuracy and reliability.

Zhang et al. (2025) studied this question.

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